Improving Quality of Service of D2D Networks using Adaptive Offloading Algorithm

Abstract

In this world of data, incrementing the revenue of a network is a necessity. There are various issues such as energy efficiency and latency that create problems for the end result. This paper will discuss the adaptive offloading algorithm which will help us overcome the problem at hand. Additionally, we will improve the overall working model to fit our purpose. To achieve more revenue within the same utility the adaptive offloading algorithm is used. The current scenario of networking includes edge devices selecting Wi-Fi as a default interface. It is essential to handle this innocent conduct of the systems by presenting proficient strategies for the prerequisite. Moreover, another factor to keep in mind is to not exceed energy usage. Hence data analysis for intelligent energy networks is a topic discussed thoroughly throughout the paper.